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Agent-Based Model for Phenotypic Prediction Using Genomic and Environmental Data

Alameda, Sébastien and Bernon, Carole and Mano, Jean-Pierre Agent-Based Model for Phenotypic Prediction Using Genomic and Environmental Data. (2014) In: International Conference on Practical Applications of Computational Biology & Bioinformatics - PACBB 2014, 4 June 2014 - 6 June 2014 (Salamanca, Spain).

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Official URL: http://dx.doi.org/10.1007/978-3-319-07581-5_1


One of the means to increase in-éeld crop yields is the use of software tools to predict future yield values using past in-éeld trials and plant genetics. The traditional, statistics-based approaches lack environmental data integration and are very sensitive to missing and/or noisy data. In this paper, we show how using a cooperative, adaptive Multi-Agent System can overcome the drawbacks of such algorithms. The system resolves the problem in an iterative way by a cooperation between the constraints, modelled as agents. Results show a good convergence of the algorithm. Complete tests to validate the provided solution quality are still in progress.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Other partners > UPETEC (FRANCE)
Deposited On:30 Apr 2015 06:54

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